ICT-enabled Self-management of Chronic Diseases and Conditions
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ItemThe Value of Patient-Reported Outcome (PRO) Data in Digital Healthcare: Using the How-R-you App as a PRO Instrument( 2019-01-08)This paper evaluates the value of using a mobile digital technology for the purpose of collecting Patient-Reported Outcome (PRO) data. We compare the use of a paper-based questionnaire and a mobile application as two different PRO instruments. Based on analysis, we conclude that use of the mobile application allows for a more nuanced picture of patients' health to be established. Implications for diagnosis and medical treatment are discussed along with the need for future research.
ItemA Pain Reporting Platform for Adolescents with Sickle-Cell Disease( 2019-01-08)This paper presents the latest version of the Pain Reporting and Management mHealth Platform for adolescent Sickle Cell Disease, developed in collaboration by Arizona State University and the Children’s National Health System. This platform supports a cross-platform mHealth app, reporting and task management API, and portal dashboard for care provider monitoring. Extending our prior work, the latest version adds enhanced app features (games, power-ups, badges, notifications) to promote sustained adherence to the reporting protocol, and enhanced reporting features for providers that track high fidelity compliance measures and aggregate outcome scores. This paper summarizes the architecture and principle features of the platform, and presents data supporting improved compliance.
ItemWhat Doctors Wish They Knew: Treatment Compliance in an Online Health Community for Chronic Patients( 2019-01-08)Treatment compliance for patients with chronic health problems is important for the management of their illness due to the long-term nature of their conditions. In this study, we examine how evaluations of different types of treatments provided by members of an online health community are associated with treatment evaluations and compliance. We use self-reported data on evaluation and compliance of over 270 different treatments from over 20,000 patients in a prominent online health community. We find that other community members’ treatment evaluation valence is positively associated with patient treatment evaluation and treatment compliance. Similarly, other community members’ treatment compliance is positively associated with patient treatment compliance. We also find these relations are moderated by community size and ratings variance. We discuss the theoretical implications of these results for the online health communities’ literature, as well as the practical implications for patients, healthcare providers, and policy makers.
ItemIT-Based Self-Monitoring Interventions to Promote Physical Activity and Weight Loss: A Meta-Analysis of Change-from-Baseline Effects( 2019-01-08)IT-based self-monitoring (ITSM) has attracted increasing interest as a strategy for chronic disease self-management and day-to-day fitness promotion. Despite the increasing popularity of various self-monitoring technologies such as fitness trackers and biosensors, their effectiveness is less certain. The objective of the current review is to determine the effectiveness of ITSM interventions on two types of key chronic care outcomes: weight management and physical activity. A systematic review employing a meta-analysis identified 42 ITSM studies that report change-from-baseline effects on weight and physical activity-related outcomes. Overall, a small effect size is found for body weight, BMI, waist circumferences, and step-based physical activity. The effect estimates on time-based physical activity are moderate. However, the effects on physical activity show variability and potential publication bias. A post-hoc analysis of the effects of ITSM on self-efficacy exhibit a small yet significant effect size, which shows the potential mediating role of patients’ psychological outcomes on the ultimate behavioral outcomes. In summary, ITSM is a potentially useful approach to manage weight and physical activity. Further study is needed to determine the source of heterogeneity as well as the types of ITSM interventions that are effective for weight, physical activity, but also other chronic care outcomes.